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A Brief Review on 4D Weather Visualization

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  • Roman Rudenko

    (Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal)

  • Ivan Miguel Pires

    (Escola de Ciências e Tecnologia, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
    Instituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal)

  • Margarida Liberato

    (Escola de Ciências e Tecnologia, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal)

  • João Barroso

    (Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal)

  • Arsénio Reis

    (Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal)

Abstract

The accelerated changes on our planet have led to a growing interest in climate change and its consequences: natural hazards and adverse socio-economic impacts. However, the development of climate research and the proliferation of datasets require an integrated and efficient approach to the analysis, investigation, and visualization of atmospheric meteorological data. Thus, we propose a literature review of existing systems viewing meteorological phenomena in four and three dimensions. Moreover, we evaluate meteorological occurrences to better understand the dynamics associated with a meteorological phenomenon and visualize different weather data. Based on the investigation of tools and methods, we consider the existence of different ways of representing meteorological data and methodologies. However, it was imperative to obtain knowledge and create our way of visualizing weather data. This article found eleven existing solutions for 4D meteorological visualization and meteorological phenomena.

Suggested Citation

  • Roman Rudenko & Ivan Miguel Pires & Margarida Liberato & João Barroso & Arsénio Reis, 2022. "A Brief Review on 4D Weather Visualization," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5248-:d:802765
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    References listed on IDEAS

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    1. Wanyun Shao, 2016. "Are actual weather and perceived weather the same? Understanding perceptions of local weather and their effects on risk perceptions of global warming," Journal of Risk Research, Taylor & Francis Journals, vol. 19(6), pages 722-742, June.
    2. Freedman, Martin & Jaggi, Bikki, 2005. "Global warming, commitment to the Kyoto protocol, and accounting disclosures by the largest global public firms from polluting industries," The International Journal of Accounting, Elsevier, vol. 40(3), pages 215-232.
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    1. Adel Ghazikhani & Iman Babaeian & Mohammad Gheibi & Mostafa Hajiaghaei-Keshteli & Amir M. Fathollahi-Fard, 2022. "A Smart Post-Processing System for Forecasting the Climate Precipitation Based on Machine Learning Computations," Sustainability, MDPI, vol. 14(11), pages 1-27, May.

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